21 SEPT - 02 OCT 2020 // Helmholtz ML virtual summer school 2020
powered by Helmholtz Information & Data Science Academy (HIDA)
in cooperation with Helmholtz Artificial Intelligence Cooperation Unit (Helmholtz AI), Munich School for Data Science (MUDS), Ludwig-Maximilians-Universität München (LMU) and Munich Center for Machine Learning (MCML)
DIVE INTO MACHINE LEARNING
Core program of the Virtual ML Summer School 2020 is an introductory course to fundamental techniques and concepts of supervised machine learning (ML), which has become a central part of modern data analysis.
In particular non-linear and non-parametric methods have been used successfully in uncovering complex patterns and relationships by computer scientists and statisticians.
|Sep 21||ML Basics + Supervised regression|
|Sep 22||Supervised regression|
|Sep 23||HIDA virtual career day|
|Sep 24||Supervised Classification|
|Sep 25||Supervised Classification + Practice Talk on mlr3|
|Sep 29||Trees + Random Forests|
|Sep 30||Trees + Random Forests|
|Oct 02||Practical Advice|
The focus of the course is to give a basic understanding of the different algorithms, models and concepts while explaining the necessary mathematical foundation.
Participants will acquire theoretical as well as practical competencies regarding some fundamental models of learning from data. Also participants will be enabled to conduct a data analysis project, including understanding and interpreting the data, in order to critically judge the advantages and disadvantages of the different methods.
The course is targeted at ML beginners with a basic, university level, education in maths and statistics:
- Basic linear algebra: vectors, matrices, determinants
- Simple calculus: derivatives, integrals, gradients
- Some probability theory: probability, random variables, distributions
- Basic statistics knowledge: descriptive statistics, estimators.
(Linear) modelling from a statistics perspective will help, but is not required.
- Working knowledge of R
Prof. Dr. Bernd Bischl (LMU Munich, MCML); Tobias Pielok (LMU Munich); Dr. Heidi Seibold (HMGU, LMU Munich, Bielefeld University); tba
The registration deadline is 31.07.2020. If the demand is too high, we will create a waiting list. You will be informed after the submission deadline whether a place is available or whether you are on the waiting list. Sign up now!
Helmholtz doctoral researchers have priority. We provide a limited number of places for external applicants. No fees!
MUDS, Helmholtz AI and HIDA are part of the Helmholtz Incubator Information & Data Science.
5 MAR 2020 // Helmholtz AI kick-off meeting
Helmholtz AI will enable the efficient and agile development and implementation of applied artificial intelligence (AI) and machine learning (ML) assets across the whole Helmholtz Association. To realize this mission, we strongly support networking between all Helmholtz centres and the official Helmholtz AI kick-off meeting is the perfect opportunity to meet method and domain specialists with a shared interest in AI.
Representatives of all Helmholtz centres will learn more about Helmholtz AI initiatives, discuss use cases in applied AI/ML and expand their network.
- When? 5 March 2020
- Where? Lenbach Palais, Munich
To make the Helmholtz AI Kick-off event accessible to our entire community, we will provide live streaming of the event on our website. You are most welcome to join us - stay tuned!
Additionally, you can join the discussion in Twitter through the hashtag #helloHelmholtzAI.
19-21 FEB 2020 // Hacking for Health: Helmholtz AI health hackathon
UPDATE 14.02.2020 >> REGISTRATION CLOSED - Thank you!
In the face of increasingly complex health issues, here at Helmholtz AI central unit - Munich we want to bring together motivated people across the Helmholtz Association to solve real-world challenges through cross-disciplinary collaboration and innovative AI/ML methods. Are you up for the challenge? Here's what you need to do:
> First step: Fill in the FREE registration form before Friday, February 14
> Second step: Take your laptop
> Last but not least: Join us in Helmholtz Zentrum München for a three-day event (February 19 - 21, 2020) in which you'll be part of a team with other research talents; together you'll try to find an innovative solution to a challenge proposed by a health-focused Helmholtz Center.
Wait, there's more!
> Each team will be mentored by an expert scientist from the Helmholtz Center that proposed the challenge.
> Relevant datasets will already be preprocessed so that you can focus on the challenge as much as possible.
> At the end of the Helmholtz AI health hackathon every team gets the chance to present its solutions and even publish the results!
Of course you'll also enjoy delicious food, have fun, get the chance to know each other better and chat with inspiring experts on applied AI and ML. Join us!